TY - JOUR
T1 - A standard protocol to report discrete stage-structured demographic information
AU - Gascoigne, Samuel J.L.
AU - Rolph, Simon
AU - Sankey, Daisy
AU - Nidadavolu, Nagalakshmi
AU - Stell Pičman, Adrian S.
AU - Hernández, Christina M.
AU - Philpott, Matthew E.R.
AU - Salam, Aiyla
AU - Bernard, Connor
AU - Fenollosa, Erola
AU - Lee, Young Jun
AU - McLean, Jessica
AU - Hetti Achchige Perera, Shathuki
AU - Spacey, Oliver G.
AU - Kajin, Maja
AU - Vinton, Anna C.
AU - Archer, C. Ruth
AU - Burns, Jean H.
AU - Buss, Danielle L.
AU - Caswell, Hal
AU - Che-Castaldo, Judy P.
AU - Childs, Dylan Z.
AU - Capdevila, Pol
AU - Compagnoni, Aldo
AU - Crone, Elizabeth
AU - Ezard, Thomas H.G.
AU - Hodgson, Dave
AU - Knight, Tiffany M.
AU - Jones, Owen R.
AU - Jongejans, Eelke
AU - McDonald, Jenni
AU - Tenhumberg, Brigitte
AU - Thomas, Chelsea C.
AU - Tyre, Andrew J.
AU - Ramula, Satu
AU - Stott, Iain
AU - Tremblay, Raymond L.
AU - Wilson, Phil
AU - Vaupel, James W.
AU - Salguero-Gómez, Roberto
N1 - Data archiving: no NIOO data
PY - 2023/6/20
Y1 - 2023/6/20
N2 - Stage-based demographic methods, such as matrix population models (MPMs), are powerful tools used to address a broad range of fundamental questions in ecology, evolutionary biology and conservation science. Accordingly, MPMs now exist for over 3000 species worldwide. These data are being digitised as an ongoing process and periodically released into two large open-access online repositories: the COMPADRE Plant Matrix Database and the COMADRE Animal Matrix Database. During the last decade, data archiving and curation of COMPADRE and COMADRE, and subsequent comparative research, have revealed pronounced variation in how MPMs are parameterized and reported. Here, we summarise current issues related to the parameterisation and reporting of MPMs that arise most frequently and outline how they affect MPM construction, analysis, and interpretation. To quantify variation in how MPMs are reported, we present results from a survey identifying key aspects of MPMs that are frequently unreported in manuscripts. We then screen COMPADRE and COMADRE to quantify how often key pieces of information are omitted from manuscripts using MPMs. Over 80% of surveyed researchers (n = 60) state a clear benefit to adopting more standardised methodologies for reporting MPMs. Furthermore, over 85% of the 300 MPMs assessed from COMPADRE and COMADRE omitted one or more elements that are key to their accurate interpretation. Based on these insights, we identify fundamental issues that can arise from MPM construction and communication and provide suggestions to improve clarity, reproducibility and future research utilising MPMs and their required metadata. To fortify reproducibility and empower researchers to take full advantage of their demographic data, we introduce a standardised protocol to present MPMs in publications. This standard is linked to www.compadre-db.org, so that authors wishing to archive their MPMs can do so prior to submission of publications, following examples from other open-access repositories such as DRYAD, Figshare and Zenodo. Combining and standardising MPMs parameterized from populations around the globe and across the tree of life opens up powerful research opportunities in evolutionary biology, ecology and conservation research. However, this potential can only be fully realised by adopting standardised methods to ensure reproducibility.
AB - Stage-based demographic methods, such as matrix population models (MPMs), are powerful tools used to address a broad range of fundamental questions in ecology, evolutionary biology and conservation science. Accordingly, MPMs now exist for over 3000 species worldwide. These data are being digitised as an ongoing process and periodically released into two large open-access online repositories: the COMPADRE Plant Matrix Database and the COMADRE Animal Matrix Database. During the last decade, data archiving and curation of COMPADRE and COMADRE, and subsequent comparative research, have revealed pronounced variation in how MPMs are parameterized and reported. Here, we summarise current issues related to the parameterisation and reporting of MPMs that arise most frequently and outline how they affect MPM construction, analysis, and interpretation. To quantify variation in how MPMs are reported, we present results from a survey identifying key aspects of MPMs that are frequently unreported in manuscripts. We then screen COMPADRE and COMADRE to quantify how often key pieces of information are omitted from manuscripts using MPMs. Over 80% of surveyed researchers (n = 60) state a clear benefit to adopting more standardised methodologies for reporting MPMs. Furthermore, over 85% of the 300 MPMs assessed from COMPADRE and COMADRE omitted one or more elements that are key to their accurate interpretation. Based on these insights, we identify fundamental issues that can arise from MPM construction and communication and provide suggestions to improve clarity, reproducibility and future research utilising MPMs and their required metadata. To fortify reproducibility and empower researchers to take full advantage of their demographic data, we introduce a standardised protocol to present MPMs in publications. This standard is linked to www.compadre-db.org, so that authors wishing to archive their MPMs can do so prior to submission of publications, following examples from other open-access repositories such as DRYAD, Figshare and Zenodo. Combining and standardising MPMs parameterized from populations around the globe and across the tree of life opens up powerful research opportunities in evolutionary biology, ecology and conservation research. However, this potential can only be fully realised by adopting standardised methods to ensure reproducibility.
KW - comparative demography
KW - matrix population models
KW - open access
KW - reproducibility
U2 - 10.1111/2041-210X.14164
DO - 10.1111/2041-210X.14164
M3 - Article
AN - SCOPUS:85163042070
SN - 2041-210X
JO - Methods in Ecology and Evolution
JF - Methods in Ecology and Evolution
ER -